Introduction One of the most important pre-processing steps in optical coherence tomography (OCT) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of OCT images. Materials and Methods The present study focused on speckle noise reduction and edge detection techniques. Statistical filters with different masks and noise variances were applied on ...

Mass spectrometry is actively being used to discover disease-related proteomic patterns in complex mixtures of proteins derived from tissue samples or from easily obtained biological fluids. The potential importance of these clinical applications has made the development of better methods for processing and analyzing the data an active area of research. In this chapter, we overview basic concep...

Digital mammogram has become the most effective technique for early breast cancer detection modality. Digital mammogram takes an electronic image of the breast and stores it directly in a computer. High quality mammogram images are high resolution and large size images. Processing these images require high computational capabilities. The transmission of these images over the net is sometimes cr...

In this paper we present a quantified model concerning the synthesis of pre-rRNAs. The chemical kinetics simulation software Dizzy has been chosen as both the modelling and simulation framework of our study. We discuss the validation of the model against the available experimental data and we show some preliminary results obtained from the study of our model. All the analyses are based on stoch...

This paper describes our experiments on the two tasks of the TREC 2007 Enterprise track. In data preprocessing stage we stripped the non-letter character from documents and query. For the Document Search, we built the index by indri and lemur, handled the query topic and then retrieved relevant documents by indri and lemur. For the Expert Search, we recognized candidates from collection, establ...